Designed for integrated use with the ProtoCOL 3 colony counter, the Ames software module facilitates rapid production of consistent count and ratio data from Ames test plates and is suitable for use in regulated toxicology testing laboratories.
Researchers have created a fact-checking program that is tackling the problem of incorrectly published biomedical research results, whether intentional or otherwise.
BrainWave 4 from 3Brain is an acquisition and analysis software tool designed to manage high-content electrophysiological data sets. It offers real-time visualisation and the data extraction of key metrics gathered using 3Brain's microelectrode array (MEA) platforms.
Image-Pro v10 analysis software makes it easy to capture, process, measure, analyse and share images and data.
Adelaide researchers are creating machines capable of undertaking complex tasks, acknowledging the outcomes and improving their performance accordingly.
Known as Pattern to Knowledge (P2K), the technology uses artificial intelligence to leverage deep knowledge from data instead of relying solely on classical machine learning.
Thermo Scientific Mass Frontier 8.0 software enables analysts to rapidly deconvolute and search information-rich, MSn mass spectrometric data produced during the identification and structural characterisation of small-molecule unknown compounds and their fragments.
Lonza's next-generation electronic batch record execution platform, the MODA-ES Software Platform, offers a flexible solution for consolidating and managing batch and quality data produced across cell and gene therapy manufacturing processes.
The iMD (interactive molecular dynamics) VR version of Nano Simbox, created by Interactive Scientific (iSci), lets anyone visit and play with the invisible molecular world.
Most research on human genes only concentrates on around 2000 out of a pool of nearly 20,000 genes.
Stanford scientists have developed an algorithm, called Phrank, that automates the most labour-intensive part of genetic diagnosis.
By analysing the brain activity of tetraplegia patients, a new deep-learning algorithm can help restore functional movements to previously paralysed limbs.